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Google Cloud Datastream vs LinkedIn Databus

What both publish

FactGoogle Cloud DatastreamLinkedIn Databus
PurposeDatastream is a serverless change data capture and replication service for synchronizing data with minimal latency.It captures, transports, and processes changes to primary data so they can flow to downstream systems.

Google Cloud Datastream plans

  • Datastream Free TierFree
  • Datastream backfill$0.40 a month
  • Datastream CDC$2 a month

LinkedIn Databus plans

  • Databus (Apache 2.0 open source)Free

Pick Google Cloud Datastream if…

Datastream suits teams that need cloud-based one-way change capture, replication, migration, or synchronization across its supported sources and destinations. It can also serve analytics and event-driven use cases.

Pick LinkedIn Databus if…

Databus suits teams routing primary database changes to derived stores, including indexes, caches, and read replicas. It is intended for self-hosted data architectures that need replay and bootstrap capabilities.

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